Literature DB >> 27155607

Putting the Genome in Context: Gene-Environment Interactions in Type 2 Diabetes.

Paul W Franks1,2,3, Guillaume Paré4,5,6,7.   

Abstract

The genome is often the conduit through which environmental exposures convey their effects on health and disease. Whilst not all diseases act by directly perturbing the genome, the phenotypic responses are often genetically determined. Hence, whilst diseases are often defined has having differing degrees of genetic determination, genetic and environmental factors are, with few exceptions, inseparable features of most diseases, not least type 2 diabetes. It follows that to optimize diabetes, prevention and treatment will require that the etiological roles of genetic and environmental risk factors be jointly considered. As we discuss here, studies focused on quantifying gene-environment and gene-treatment interactions are gathering momentum and may eventually yield data that helps guide health-related choices and medical interventions for type 2 diabetes and other complex diseases.

Entities:  

Keywords:  Cardiometabolic; Gene-lifestyle interaction; Genomic; Genotype-based recall; Obesity; Recall by genotype; Systems biology; Variance heterogeneity

Mesh:

Year:  2016        PMID: 27155607     DOI: 10.1007/s11892-016-0758-y

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  71 in total

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Journal:  J Am Med Assoc       Date:  1956-08-25

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Journal:  Hum Mol Genet       Date:  2011-02-28       Impact factor: 6.150

5.  Genome-wide meta-analyses identify multiple loci associated with smoking behavior.

Authors: 
Journal:  Nat Genet       Date:  2010-04-25       Impact factor: 38.330

6.  Physical activity and the association of common FTO gene variants with body mass index and obesity.

Authors:  Evadnie Rampersaud; Braxton D Mitchell; Toni I Pollin; Mao Fu; Haiqing Shen; Jeffery R O'Connell; Julie L Ducharme; Scott Hines; Paul Sack; Rosalie Naglieri; Alan R Shuldiner; Soren Snitker
Journal:  Arch Intern Med       Date:  2008-09-08

7.  Joint genetic analysis of gene expression data with inferred cellular phenotypes.

Authors:  Leopold Parts; Oliver Stegle; John Winn; Richard Durbin
Journal:  PLoS Genet       Date:  2011-01-20       Impact factor: 5.917

8.  THE EFFECT OF TEMPERATURE UPON FACET NUMBER IN THE BAR-EYED MUTANT OF DROSOPHILA : PART III.

Authors:  J Krafka
Journal:  J Gen Physiol       Date:  1920-05-20       Impact factor: 4.086

9.  THE EFFECT OF TEMPERATURE UPON FACET NUMBER IN THE BAR-EYED MUTANT OF DROSOPHILA : PART II.

Authors:  J Krafka
Journal:  J Gen Physiol       Date:  1920-05-20       Impact factor: 4.086

10.  Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: rationale and design of the epidemiological studies within the IMI DIRECT Consortium.

Authors:  Robert W Koivula; Alison Heggie; Anna Barnett; Henna Cederberg; Tue H Hansen; Anitra D Koopman; Martin Ridderstråle; Femke Rutters; Henrik Vestergaard; Ramneek Gupta; Sanna Herrgård; Martijn W Heymans; Mandy H Perry; Simone Rauh; Maritta Siloaho; Harriet J A Teare; Barbara Thorand; Jimmy Bell; Søren Brunak; Gary Frost; Bernd Jablonka; Andrea Mari; Tim J McDonald; Jacqueline M Dekker; Torben Hansen; Andrew Hattersley; Markku Laakso; Oluf Pedersen; Veikko Koivisto; Hartmut Ruetten; Mark Walker; Ewan Pearson; Paul W Franks
Journal:  Diabetologia       Date:  2014-04-04       Impact factor: 10.122

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Journal:  Clin Chem       Date:  2017-11-02       Impact factor: 8.327

2.  Quantile-Dependent Heritability of Glucose, Insulin, Proinsulin, Insulin Resistance, and Glycated Hemoglobin.

Authors:  Paul T Williams
Journal:  Lifestyle Genom       Date:  2021-12-06

Review 3.  Gene-Diet Interaction and Precision Nutrition in Obesity.

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Journal:  Int J Mol Sci       Date:  2017-04-07       Impact factor: 5.923

4.  TCF21 and the environmental sensor aryl-hydrocarbon receptor cooperate to activate a pro-inflammatory gene expression program in coronary artery smooth muscle cells.

Authors:  Juyong Brian Kim; Milos Pjanic; Trieu Nguyen; Clint L Miller; Dharini Iyer; Boxiang Liu; Ting Wang; Olga Sazonova; Ivan Carcamo-Orive; Ljubica Perisic Matic; Lars Maegdefessel; Ulf Hedin; Thomas Quertermous
Journal:  PLoS Genet       Date:  2017-05-08       Impact factor: 5.917

5.  Gene-obesogenic environment interactions in the UK Biobank study.

Authors:  Jessica Tyrrell; Andrew R Wood; Ryan M Ames; Hanieh Yaghootkar; Robin N Beaumont; Samuel E Jones; Marcus A Tuke; Katherine S Ruth; Rachel M Freathy; George Davey Smith; Stéphane Joost; Idris Guessous; Anna Murray; David P Strachan; Zoltán Kutalik; Michael N Weedon; Timothy M Frayling
Journal:  Int J Epidemiol       Date:  2017-04-01       Impact factor: 7.196

6.  Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association Tests.

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Review 7.  Effect of TCF7L2 on the relationship between lifestyle factors and glycemic parameters: a systematic review.

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Journal:  Nutr J       Date:  2022-09-26       Impact factor: 4.344

8.  A systems approach to personalised nutrition: Report on the Keystone Symposium "Human Nutrition, Environment and Health".

Authors:  Michael Maher; Amy M Pooler; James Kaput; Martin Kussmann
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Review 9.  Disease Ionomics: Understanding the Role of Ions in Complex Disease.

Authors:  Yan Zhang; Yinzhen Xu; Lin Zheng
Journal:  Int J Mol Sci       Date:  2020-11-17       Impact factor: 5.923

10.  Gene-lifestyle interaction on risk of type 2 diabetes: A systematic review.

Authors:  Stefan Dietrich; Simone Jacobs; Ju-Sheng Zheng; Karina Meidtner; Lukas Schwingshackl; Matthias B Schulze
Journal:  Obes Rev       Date:  2019-09-02       Impact factor: 9.213

  10 in total

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